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[PRE REVIEW]: AI-ANNE: (A) (N)eural (N)et for (E)xploration #7933
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Five most similar historical JOSS papers: ADaPT-ML: A Data Programming Template for Machine Learning NiaAML: AutoML framework based on stochastic population-based nature-inspired algorithms nnde: A Python package for solving differential equations using neural networks MNE-ICALabel: Automatically annotating ICA components with ICLabel in Python PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs |
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Five most similar historical JOSS papers: ADaPT-ML: A Data Programming Template for Machine Learning NiaAML: AutoML framework based on stochastic population-based nature-inspired algorithms nnde: A Python package for solving differential equations using neural networks MNE-ICALabel: Automatically annotating ICA components with ICLabel in Python PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs |
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Five most similar historical JOSS papers: ADaPT-ML: A Data Programming Template for Machine Learning NiaAML: AutoML framework based on stochastic population-based nature-inspired algorithms nnde: A Python package for solving differential equations using neural networks MNE-ICALabel: Automatically annotating ICA components with ICLabel in Python PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs |
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Title is supposed to be "AI-ANNE: (A) (N)eural (N)et for (E)xploration" and not "Explainable Artificial Intelligence with MicroPython: Lightweight Neural Networks for Students’ Deeper Learning"... Previous issues have been fixed. |
@editorialbot generate pdf |
Five most similar historical JOSS papers: NiaAML: AutoML framework based on stochastic population-based nature-inspired algorithms PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs MNE-ICALabel: Automatically annotating ICA components with ICLabel in Python pystiche: A Framework for Neural Style Transfer giotto-deep: A Python Package for Topological Deep Learning |
Suggestions for potential reviewers that have knowledge about embedded systems and could be familiar with MicroPython and microcontrollers in order to check ai-anne-b.py (works even without a Raspberry Pi Pico):
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Assigned! @osorensen is now the editor |
👋 @samiralavi @SamMachariaPhD @ixjlyons would any of you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html |
Hi @osorensen, I glanced at the paper and the software, and they seem interesting and related to my background. I am happy to review it. |
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@samiralavi added to the reviewers list! |
@kalpan80 @hbaniecki @JHoelli @expectopatronum would any of you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html |
Hi, unfortunately I need to decline due to an abundance of other reviewing obligations. |
Hi @osorensen , please add me to the reviewers list |
@editorialbot add @kalpan80 as reviewer |
@kalpan80 added to the reviewers list! |
@editorialbot start review |
OK, I've started the review over in #8039. |
Submitting author: @statistical-thinking (Prof. Dr. habil. Dennis Klinkhammer)
Repository: https://github.com/statistical-thinking/KI.ENNA
Branch with paper.md (empty if default branch):
Version: 2.0
Editor: @osorensen
Reviewers: @samiralavi, @kalpan80
Managing EiC: Chris Vernon
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